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Computational Management : Applications of Computational Intelligence in Business Management / / edited by Srikanta Patnaik, Kayhan Tajeddini, Vipul Jain



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Titolo: Computational Management : Applications of Computational Intelligence in Business Management / / edited by Srikanta Patnaik, Kayhan Tajeddini, Vipul Jain Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021
Edizione: 1st ed. 2021.
Descrizione fisica: 1 online resource (678 pages)
Disciplina: 006.3
Soggetto topico: Computational intelligence
Business - Data processing
Mathematical optimization
Computational Intelligence
Business Informatics
Optimization
Persona (resp. second.): PatnaikSrikanta
TajeddiniKayhan
JainVipul
Nota di contenuto: Computational Management: An Overview -- Mathematical and computational approaches for stochastic control of river environment and ecology: from fisheries viewpoint -- Models and Tools of Knowledge Acquisition -- Profits Lie in the Eyes of the Beholder: Entropy-based Volatility Indicators and Portfolio Rotation Strategies -- Asymmetric spill overs between risk and return series: case of CESEE markets -- Millennial Customers and Hangout Joints: An Empirical Study Using the Kano Quantitative Model -- The Effects of Oil Shocks on Macroeconomic Uncertainty: Evidence from a Large Panel Dataset of US States.
Sommario/riassunto: This book offers a timely review of cutting-edge applications of computational intelligence to business management and financial analysis. It covers a wide range of intelligent and optimization techniques, reporting in detail on their application to real-world problems relating to portfolio management and demand forecasting, decision making, knowledge acquisition, and supply chain scheduling and management.
Titolo autorizzato: Computational management  Visualizza cluster
ISBN: 3-030-72929-X
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910484696903321
Lo trovi qui: Univ. Federico II
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Serie: Modeling and Optimization in Science and Technologies, . 2196-7334 ; ; 18